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Data Science Foundations with R
Coursera
Specialization
Unknown

Data Science Foundations with R

Johns Hopkins University

Learn foundational data science skills using R, including data cleaning, analysis, visualization, and reproducible research techniques.

UnknownEnglish

About this Course

Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research. Learners who complete this specialization will be prepared to take the Data Science: Statistics and Machine Learning specialization, in which they build a data product using real-world data. The five courses in this specialization are the very same courses that make up the first half of the Data Science Specialization. This specialization is presented for learners who want to start and complete the foundational part of the curriculum first, before moving onto the more advanced topics in Data Science: Statistics and Machine Learning

What You'll Learn

  • Use R to clean, analyze, and visualize data
  • Learn how to ask the right questions, obtain data, and perform reproducible research
  • Use GitHub to manage data science projects

Prerequisites

  • Basic computer and internet skills
  • Ability to read course instructions in English and complete short practice activities

Instructors

R

Roger D. Peng, PhD

Professor of Statistics and Data Sciences

B

Brian Caffo, PhD

Professor, Biostatistics

J

Jeff Leek, PhD

Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics in Public Health Sciences

Topics

Data Analysis
Data Science
Machine Learning
Data Cleansing
Data Integration
Data Manipulation
Data Sharing
Data Visualization Software
Dimensionality Reduction
Exploratory Data Analysis

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علم البيانات
تعلم الآلة
تنقية البيانات
تكامل البيانات
معالجة البيانات
مشاركة البيانات
برمجيات تصوّر البيانات
Dimensionality Reduction
Exploratory Data Analysis

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